ADVANCING TOPIC ONTOLOGY LEARNING THROUGH TERM EXTRACTION (2008)
Blaž Fortuna, Nada Lavrač, Paola Velardi
This paper presents a novel methodology for topic ontology learning from text documents. The proposed methodology, named OntoTermExtraction is based on OntoGen, a semi-automated tool for topic...
Contextualizing Ontologies with OntoLight: A Pragmatic Approach (2008)
Marko Grobelnik, Janez Brank, Blaž Fortuna, Igor Mozetič
We present a pragmatic approach to using large-scale ontologies as contexts. The approach is based on a lightweight ontology model and grounding of the ontology concepts in textual documents. These...
ABSTRACT System for semi-automatic ontology construction (2008)
In this paper, we review two techniques for topic discovery in collections of text documents (Latent Semantic Indexing and K-Means clustering) and present how we integrated them into a system for...
In this paper we describe a solution for incorporating background knowledge into the OntoGen system for semi-automatic ontology construction. This makes it easier for different users to construct...
• Documents are encoded as vectors • Each element of vector corresponds to frequency of one word • Each word can also be weighted corresponding to the importance of the word Computers are used...
Visualization of text document corpus (2005)
Blaž Fortuna, Marko Grobelnik, Dunja Mladenić
Visualization is commonly used in data analysis to help the user in getting an initial idea about the raw data as well as visual representation of the regularities obtained in the analysis. In...